科学逻辑的知识创新功能试析  

Analyses into the Functions of Knowledge Innovation of Scientific Logic

作　　者：任晓明[1] 韩伟才[1] 

机构地区：[1]南开大学哲学系,天津300071

出　　处：《淮阴师范学院学报（哲学社会科学版）》2003年第3期299-302,共4页Journal of Huaiyin Teachers College(Social Sciences Edition)

基　　金：天津市"十五"社科规划项目"信息技术哲学"(B30I38)

摘　　要：从科学逻辑的角度看 ,科学知识创新是指科学知识的增长。归纳逻辑作为一种冒险的逻辑 ,其知识创新功能比演绎逻辑强。贝叶斯规则着力刻画了新证据在知识增长方面的作用 ,从而具有较强的知识创新功能。新培根主义归纳概率逻辑较好地满足了知识增长的要求 ,展示了科学知识创新的途径。要增强科学逻辑的知识创新功能 ,必须实现从单调逻辑向非单调逻辑的转变 ,从外延逻辑向非外延逻辑的转变 。Viewed from scientific logic, the knowledge innovation means the knowledge growth. Inductive logic is the logic of risk, so its functions of knowledge innovation will be stronger than deductive logic's. The Rules of Bayes have described the functions of new evidences in the knowledge growth. Neo-Baconion logic of probability filled the requirements of knowledge growth and explored the way of knowledge innovation. In order to improve the functions of the knowledge innovation of scientific logic, the three transitions must be achieved: from monotone logic to non-monotone logic, from extension logic to non-extension logic and from formal logic to non-formal logic.

关 键 词：科学逻辑 知识创新 归纳概率逻辑 贝叶期规则 

分 类 号：B812[哲学宗教—逻辑学]